💼 LinkedIn Jobs Scraper

⭐ What does LinkedIn Jobs Scraper do?

LinkedIn Jobs Scraper is a powerful, customizable, and efficient scraper designed to extract public job data directly from LinkedIn — no login or cookies required. It delivers clean and structured data ready for analysis, automation, or integration into your own systems.

You can extract detailed job information such as:

• 🧑‍💼 Job title
• 🏢 Company name
• 🗺️ Location
• 💻 Remote availability
• 📝 Job description
• 💰 Compensation details
• ⏰ Date posted
• 🔗 Job URL and direct application link
• 🏷️ Job type, function, level and industry

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🔥 Why use LinkedIn Jobs Scraper?

1. 🎯 Focused on LinkedIn — specifically optimized for LinkedIn’s job data structure.
2. 🧠 No login or cookies needed — it runs entirely with public listings, making setup instant.
3. 🤖 Smart User-Agent rotation — automatically generates realistic browser fingerprints for every run.
4. ⚡ Fast and reliable — scrapes job data efficiently while minimizing compute unit usage.
5. 🔒 Proxy support coming soon — although it works perfectly fine without proxies.
6. 📊 Clean and standardized output — easy to process, analyze, or integrate with any system.
7. 🧩 Apify-native integration — runs smoothly inside Apify (Dataset, KV Store, API & webhooks).

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💡 Common use cases

• 📈 Market analysis — identify hiring trends and job demand by region or industry.
• 💼 HR automation — feed job data into CRMs, ATS or recruitment tools.
• 🔍 Competitive research — track where your competitors are hiring and which roles they prioritize.
• 🧭 Career exploration — discover new opportunities that match your goals or location.
• 📚 Academic / data research — analyze employment patterns or salary evolution.

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🚀 How to use

You can run the scraper in two simple ways:

1️⃣ Run from Apify Console

1. Open the actor in your Apify Dashboard.
2. Fill in your desired search term and location (required).
3. Adjust optional filters like distance, job_type, is_remote, or company IDs.
4. Click Save & Start.
5. Once finished, open the Dataset tab to browse or download your results.

2️⃣ Run via API

You can also start the scraper programmatically with an HTTP request:

curl "https://api.apify.com/v2/acts/username~linkedin-jobs-scraper/runs?token=YOUR_APIFY_TOKEN" \
-d '{
  "search_term": "Frontend Developer",
  "location": "Madrid, Spain",
  "distance": 30
}'

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⚙️ Input configuration

Below is an example of how to configure your input:

{
  "search_term": "Software Engineer",
  "location": "Barcelona, Spain",
  "distance": 50,
  "results_wanted": 100,
  "job_type": "fulltime",
  "is_remote": false,
  "linkedin_company_ids": [76987811, 1815218],
  "easy_apply": false,
  "published_at": "72",
  "fetch_description": true
}

Input fields

Field	Type	Default	Description
search_term	string	–	Keywords to search, e.g. "data analyst", "project manager".
location	string	Barcelona, Spain	Required. City, region or country.
distance	integer	50	Search radius in miles.
results_wanted	integer	50	Maximum number of job results to retrieve (1–1000).
job_type	string	–	Filter by job type (fulltime, parttime, internship, etc.).
is_remote	boolean	false	If true, only returns remote jobs.
linkedin_company_ids	array	[]	Filter by specific LinkedIn company IDs.
easy_apply	boolean	false	Filter for jobs with LinkedIn “Easy Apply”.
published_at	string	"72"	Only include jobs posted in the last N hours (24, 48, 72, etc.).
fetch_description	boolean	true	Fetch full job descriptions and details.

⚠️ Important: You cannot combine easy_apply and published_at in the same run due to LinkedIn limitations.

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📤 Example output

Each item represents a job posting and follows this structure:

{
  "id": "li-4308729964",
  "title": "Software Engineer",
  "company_name": "Tech Solutions",
  "company_url": "https://www.linkedin.com/company/tech-solutions/",
  "location": "Barcelona, Spain",
  "is_remote": true,
  "date_posted": "2025-10-07T09:24:00Z",
  "job_url": "https://www.linkedin.com/jobs/view/4308729964/",
  "job_url_direct": "https://www.linkedin.com/jobs-apply/4308729964",
  "job_type": "fulltime",
  "job_level": "Mid-Senior",
  "job_function": "Engineering",
  "company_industry": "Information Technology",
  "company_logo": "https://media.licdn.com/logo.png",
  "description": "We are looking for a software engineer to join our growing team...",
  "emails": ["hr@techsolutions.com"],
  "compensation": {
    "salary_source": "LinkedIn",
    "interval": "yearly",
    "min_amount": 35000,
    "max_amount": 45000,
    "currency": "EUR"
  }
}

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💾 Output format

• All results are automatically pushed to your Apify Dataset.

• A full JSON copy is also saved to the Key-Value Store as jobs.json.

• You can export results directly as:

  • 📄 JSON
  • 📑 CSV
  • 📊 XLSX

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💰 Pricing

The LinkedIn Jobs Scraper is available for $2/1000 results. It’s optimized for performance, so you can run many searches with minimal cost.

🧩 Proxy support coming soon — but the scraper already runs perfectly without proxies.

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⚖️ Legal notice

This actor only extracts publicly available information from LinkedIn. Always comply with LinkedIn’s Terms of Service, data protection laws, and ethical scraping practices.

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💬 Feedback & support

We are constantly improving LinkedIn Jobs Scraper. If you find a bug or have suggestions, please open an issue in the Apify console → Issues tab. Your feedback helps us make it better every day! 🚀

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🇪🇸 LinkedIn Jobs Scraper (Versión en Español)

⭐ ¿Qué hace LinkedIn Jobs Scraper?

LinkedIn Jobs Scraper es una herramienta potente, personalizable y eficiente diseñada para extraer datos públicos de ofertas de trabajo directamente desde LinkedIn — sin necesidad de iniciar sesión ni usar cookies. Devuelve datos limpios y estructurados, listos para análisis, automatización o integración en tus propios sistemas.

Podrás obtener información detallada como:

• 🧑‍💼 Título del puesto
• 🏢 Nombre de la empresa
• 🗺️ Ubicación
• 💻 Disponibilidad remota
• 📝 Descripción del trabajo
• 💰 Detalles del salario o compensación
• ⏰ Fecha de publicación
• 🔗 URL del empleo y enlace directo para aplicar
• 🏷️ Tipo de contrato, nivel y sector

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🔥 ¿Por qué usar LinkedIn Jobs Scraper?

1. 🎯 Enfocado 100% en LinkedIn — optimizado específicamente para su estructura.
2. 🧠 Sin login ni cookies — funciona solo con ofertas públicas, listo para usar.
3. 🤖 Rotación automática de User-Agent — simula navegadores reales de forma inteligente.
4. ⚡ Rápido y confiable — obtiene datos de alta calidad minimizando el consumo.
5. 🔒 Soporte para proxies próximamente — aunque ya funciona perfectamente sin ellos.
6. 📊 Salida limpia y estandarizada — ideal para análisis, dashboards o integraciones.
7. 🧩 Totalmente integrado con Apify — compatible con Datasets, KV Store, API y webhooks.

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💡 Casos de uso

• 📈 Análisis de mercado laboral — detecta tendencias y demanda de empleo.
• 💼 Automatización de RRHH — alimenta CRMs o sistemas de reclutamiento.
• 🔍 Investigación competitiva — analiza dónde y en qué roles contratan tus competidores.
• 🧭 Exploración profesional — descubre oportunidades según tus habilidades o ubicación.
• 📚 Investigación académica o económica — analiza salarios, sectores o evolución laboral.

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🚀 Cómo usarlo

Puedes ejecutar el scraper de dos formas muy sencillas:

1️⃣ Desde la consola de Apify

1. Abre el actor desde tu panel de Apify.
2. Completa los campos search term y location (obligatorios).
3. Ajusta los filtros opcionales: distance, job_type, is_remote, etc.
4. Haz clic en Save & Start.
5. Al finalizar, abre la pestaña Dataset para ver o descargar tus resultados.

2️⃣ Desde la API

También puedes ejecutarlo mediante una petición HTTP:

curl "https://api.apify.com/v2/acts/username~linkedin-jobs-scraper/runs?token=TU_TOKEN_APIFY" \
-d '{
  "search_term": "Desarrollador Frontend",
  "location": "Madrid, España",
  "distance": 30
}'

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⚙️ Ejemplo de configuración

{
  "search_term": "Ingeniero de software",
  "location": "Barcelona, España",
  "distance": 50,
  "results_wanted": 100,
  "job_type": "fulltime",
  "is_remote": false,
  "linkedin_company_ids": [76987811, 1815218],
  "easy_apply": false,
  "published_at": "72",
  "fetch_description": true
}

⚠️ Importante: No se pueden combinar los filtros easy_apply y published_at en la misma ejecución por limitaciones de LinkedIn.

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📤 Ejemplo de salida

{
  "id": "li-4308729964",
  "title": "Software Engineer",
  "company_name": "Tech Solutions",
  "location": "Barcelona, España",
  "is_remote": true,
  "date_posted": "2025-10-07T09:24:00Z",
  "job_url": "https://www.linkedin.com/jobs/view/4308729964/",
  "job_type": "fulltime",
  "company_industry": "Tecnología de la Información",
  "description": "Buscamos un ingeniero de software para unirse a nuestro equipo...",
  "compensation": {
    "interval": "año",
    "min_amount": 35000,
    "max_amount": 45000,
    "currency": "EUR"
  }
}

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💰 Precio

LinkedIn Jobs Scraper está disponible por 2$/1000 resultados. Está optimizado para ser rápido y eficiente, por lo que puedes ejecutar muchas búsquedas con un coste muy bajo.

🧩 Soporte para proxies próximamente, aunque el scraper ya funciona perfectamente sin ellos.

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⚖️ Aviso legal

Este actor solo extrae información pública disponible en LinkedIn. Cumple siempre con los Términos de Servicio de LinkedIn, las leyes de protección de datos y las buenas prácticas de scraping ético.

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💬 Soporte y sugerencias

Estamos mejorando continuamente LinkedIn Jobs Scraper. Si encuentras un error o tienes sugerencias, abre un issue en la consola de Apify → pestaña Issues. ¡Tu feedback nos ayuda a hacerlo aún mejor! 🚀